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Gemma 3n E4B Instructed vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 11.4% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Phi 4 Mini is the stronger choice for coding tasks.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
Phi 4 Mini
Microsoft
2025-02-01
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Gemma 3n E4B Instructed
Average Score:24.4%
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Phi 4 Mini
Average Score:35.8%(+11.4%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Phi 4 Mini
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Gemma 3n E4B Instructed
Avg Score:24.4%
Providers:1
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Phi 4 Mini
Avg Score:35.8%(+11.4%)
Providers:0